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The Section for Electrical Energy Technology at the Department of Electrical and Computer Engineering (ECE), Aarhus University, is in a phase of rapid growth in both education and research
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contribution to proteinuria-induced kidney injury. Our research integrates molecular and cellular biology, mouse models, advanced imaging, and omics technologies to uncover mechanisms driving chronic kidney
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related genome editing approaches to disrupt biological processes that support prostate cancer progression with a focus on metabolism, hormonal and stress response signaling. Preparing samples
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modelling, or live neural imaging is desirable Experience working with neurons and knowledge in neurobiology is desirable Track record of international mobility is highly valued Publication record is
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contribution to proteinuria-induced kidney injury. Our research integrates molecular and cellular biology, mouse models, advanced imaging, and omics technologies to uncover mechanisms driving chronic kidney
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Read more about our recruitment process here The appointment process at Aalborg University involves a shortlisting process. You can read more about the shortlisting and appointment process here
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in using natural language processing (NLP) methods on large-scale text data. Candidates with substantial experience in NLP and text-based analysis will be particularly well suited to the project
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candidate will combine field observations, experiments, and existing environmental datasets to determine how freshwater inputs, mixing, biological processes, and sea-ice cover regulate carbonate chemistry and
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field of health science within the scope of the Faculty’s research areas. The selection process is entirely focused on scientific merits and strong performance in relevant skills, e.g. research management
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data or large data volumes in all information systems. We contribute methods and algorithms for machine learning, and data mining, including XAI, as well as for data access and query processing. Aarhus